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Implementation Science | 2013

Promoting state health department evidence-based cancer and chronic disease prevention: a multi-phase dissemination study with a cluster randomized trial component

Peg Allen; Sonia Sequeira; Rebekah R. Jacob; Adriano Akira Ferreira Hino; Katherine A. Stamatakis; Jenine K. Harris; Lindsay Elliott; Jon Kerner; Ellen Jones; Maureen Dobbins; Elizabeth A. Baker; Ross C. Brownson

BackgroundCancer and other chronic diseases reduce quality and length of life and productivity, and represent a significant financial burden to society. Evidence-based public health approaches to prevent cancer and other chronic diseases have been identified in recent decades and have the potential for high impact. Yet, barriers to implement prevention approaches persist as a result of multiple factors including lack of organizational support, limited resources, competing emerging priorities and crises, and limited skill among the public health workforce. The purpose of this study is to learn how best to promote the adoption of evidence based public health practice related to chronic disease prevention.Methods/designThis paper describes the methods for a multi-phase dissemination study with a cluster randomized trial component that will evaluate the dissemination of public health knowledge about evidence-based prevention of cancer and other chronic diseases. Phase one involves development of measures of practitioner views on and organizational supports for evidence-based public health and data collection using a national online survey involving state health department chronic disease practitioners. In phase two, a cluster randomized trial design will be conducted to test receptivity and usefulness of dissemination strategies directed toward state health department chronic disease practitioners to enhance capacity and organizational support for evidence-based chronic disease prevention. Twelve state health department chronic disease units will be randomly selected and assigned to intervention or control. State health department staff and the university-based study team will jointly identify, refine, and select dissemination strategies within intervention units. Intervention (dissemination) strategies may include multi-day in-person training workshops, electronic information exchange modalities, and remote technical assistance. Evaluation methods include pre-post surveys, structured qualitative phone interviews, and abstraction of state-level chronic disease prevention program plans and progress reports.Trial registrationclinicaltrials.gov:NCT01978054.


BMC Health Services Research | 2014

Training needs and supports for evidence-based decision making among the public health workforce in the United States

Rebekah R. Jacob; Elizabeth A. Baker; Peg Allen; Elizabeth A. Dodson; Kathleen Duggan; Robert Fields; Sonia Sequeira; Ross C. Brownson

BackgroundPreparing the public health workforce to practice evidence-based decision making (EBDM) is necessary to effectively impact health outcomes. Few studies report on training needs in EBDM at the national level in the United States. We report competency gaps to practice EBDM based on four U.S. national surveys we conducted with the state and local public health workforce between 2008 and 2013.MethodsWe compared self-reported data from four U.S. national online surveys on EBDM conducted between 2008 and 2013. Participants rated the importance of each EBDM competency then rated how available the competency is to them when needed on a Likert scale. We calculated a gap score by subtracting availability scores from importance scores. We compared mean gaps across surveys and utilized independent samples t tests and Cohen’s d values to compare state level gaps. In addition, participants in the 2013 state health department survey selected and ranked three items that “would most encourage you to utilize EBDM in your work” and items that “would be most useful to you in applying EBDM in your work”. We calculated the percentage of participants who ranked each item among their top three.ResultsThe largest competency gaps were consistent across all four surveys: economic evaluation, communicating research to policymakers, evaluation designs, and adapting interventions. Participants from the 2013 state level survey reported significantly larger mean importance and availability scores (p <0.001, d =1.00, and p <0.001, d = .78 respectively) and smaller mean gaps (p <0.01, d = .19) compared to the 2008 survey. Participants most often selected “leaders prioritizing EBDM” (67.9%) among top ways to encourage EBDM use. “EBDM training for specific areas” was most commonly ranked as important in applying EBDM (64.3%).ConclusionPerceived importance and availability of EBDM competencies may be increasing as supports for EBDM continue to grow through trends in funding, training, and resources. However, more capacity building is needed overall, with specific attention to the largest competency gaps. More work with public health departments to both situate trainings to boost competency in these areas and continued improvements for organizational practices (leadership prioritization) are possible next steps to sustain EBDM efforts.


Preventing Chronic Disease | 2014

Information–Seeking Among Chronic Disease Prevention Staff in State Health Departments: Use of Academic Journals

Jenine K. Harris; Peg Allen; Rebekah R. Jacob; Lindsay Elliott; Ross C. Brownson

Use of scientific evidence aids in ensuring that public health interventions have the best possible health and economic return on investment. We describe use of academic journals by state health department chronic disease prevention staff to find public health evidence. We surveyed more than 900 state health department staff from all states and the District of Columbia. Participants identified top journals or barriers to journal use. We used descriptive statistics to examine individual and aggregate state health department responses. On average, 45.7% of staff per state health department use journals. Common barriers to use included lack of time, lack of access, and expense. Strategies for increasing journal use are provided.


American Journal of Preventive Medicine | 2015

Understanding Mis-implementation in Public Health Practice

Ross C. Brownson; Peg Allen; Rebekah R. Jacob; Jenine K. Harris; Kathleen Duggan; Pamela R. Hipp; Paul C. Erwin

INTRODUCTION A better understanding of mis-implementation in public health (ending effective programs and policies or continuing ineffective ones) may provide important information for decision makers. The purpose of this study is to describe the frequency and patterns in mis-implementation of programs in state and local health departments in the U.S. METHODS A cross-sectional study of 944 public health practitioners was conducted. The sample included state (n=277) and local health department employees (n=398) and key partners from other agencies (n=269). Data were collected from October 2013 through June 2014 (analyzed in May through October 2014). Online survey questions focused on ending programs that should continue, continuing programs that should end, and reasons for endings. RESULTS Among state health department employees, 36.5% reported that programs often or always end that should have continued, compared with 42.0% of respondents in local health departments and 38.3% of respondents working in other agencies. In contrast to ending programs that should have continued, 24.7% of state respondents reported programs often or always continuing when they should have ended, compared to 29.4% for local health departments and 25% of respondents working in other agencies. Certain reasons for program endings differed at the state versus local level (e.g., policy support, support from agency leadership), suggesting that actions to address mis-implementation are likely to vary. CONCLUSIONS The current data suggest a need to focus on mis-implementation in public health practice in order to make the best use of scarce resources.


American Journal of Health Behavior | 2014

Daily Hassles' Role in Health Seeking Behavior among Low- income Populations

Rebekah R. Jacob; Lauren D. Arnold; Jean Hunleth; K. Allen Greiner; Aimee S. James

OBJECTIVES To adapt a daily hassles measure for a low-income population and assess the relationship between hassles and health seeking behavior. METHODS The mixed methods approach used cognitive interviews (N = 23) to inform an adapted measure of daily hassles. The adapted scale was then tested via surveys (N = 144) in community health centers; multivariate logistic regression models were used to assess relationships among variables. RESULTS Hassle concerning having enough money for emergencies (76.5%) and worrying about personal health (68.8%) were among the most common. Increased health-related hassles were associated with an increased likelihood to delay needed care. CONCLUSIONS Findings suggest daily hassles are unique among low-income populations and should be considered in health behavior interventions.


Preventing Chronic Disease | 2014

Health Care System Collaboration to Address Chronic Diseases: A Nationwide Snapshot From State Public Health Practitioners

Lindsay Elliott; Timothy D. McBride; Peg Allen; Rebekah R. Jacob; Ellen Jones; Jon Kerner; Ross C. Brownson

Introduction Until recently, health care systems in the United States often lacked a unified approach to prevent and manage chronic disease. Recent efforts have been made to close this gap through various calls for increased collaboration between public health and health care systems to better coordinate provision of services and programs. Currently, the extent to which the public health workforce has responded is relatively unknown. The objective of this study is to explore health care system collaboration efforts and activities among a population-based sample of state public health practitioners. Methods During spring 2013, a national survey was administered to state-level chronic disease public health practitioners. Respondents were asked to indicate whether or not they collaborate with health care systems. Those who reported “yes” were asked to indicate all topic areas in which they collaborate and provide qualitative examples of their collaborative work. Results A total of 759 respondents (84%) reported collaboration. Common topics of collaboration activities were tobacco, cardiovascular health, and cancer screening. More client-oriented interventions than system-wide interventions were found in the qualitative examples provided. Respondents who collaborated were also more likely to use the Community Guide, use evidence-based decision making, and work in program areas that involved secondary, rather than primary, prevention. Conclusion The study findings indicate a need for greater guidance on collaboration efforts that involve system-wide and cross-system interventions. Tools such as the Community Guide and evidence-based training courses may be useful in providing such guidance.


Evaluation and Program Planning | 2017

Results from a psychometric assessment of a new tool for measuring evidence-based decision making in public health organizations

Katherine A. Stamatakis; Adriano Akira Ferreira Hino; Peg Allen; Amy McQueen; Rebekah R. Jacob; Elizabeth A. Baker; Ross C. Brownson

BACKGROUND In order to better understand how to improve evidence-based decision making (EBDM) in state health departments, measurement tools are needed to evaluate changes in EBDM. The purpose of this study was to test the psychometric properties of a new measurement tool to assess EBDM in public health practice settings. METHODS A questionnaire was developed, pilot-tested and refined in an iterative process with the input of public health practitioners with the aim of identifying a set of specific measures representing different components of EBDM. Data were collected in a national survey of state health department chronic disease practitioners. The final dataset (n=879) for psychometric testing was comprised of 19 EBDM items that were first examined using exploratory factor analysis, and then confirmatory factor analysis. RESULTS The final model from confirmatory factor analysis includes five latent factors representing components of EBDM: capacity for evaluation, expectations and incentives for EBDM, access to evidence and resources for EBDM, participatory decision making, and leadership support and commitment. CONCLUSIONS This study addresses the need for empirically tested and theory-aligned measures that may be used to assess the extent to which EBDM is currently implemented, and further, to gauge the success of strategies to improve EBDM, in public health settings. This EBDM measurement tool may help identify needed supports for enhanced capacity and implementation of effective strategies.


American Journal of Preventive Medicine | 2017

Learning About and Using Research Evidence Among Public Health Practitioners

Rebekah R. Jacob; Peg Allen; Linda J. Ahrendt; Ross C. Brownson

INTRODUCTION Funders and accreditation standards increasingly call on state and local public health agencies to use the best available science. Using research evidence is a key process in practicing evidence-based decision making (EBDM). This study explored preferences for and uses of research evidence, and examined correlates regarding frequency of use. METHODS In 2014, eligible staff from 12 state health departments and their partnering agencies were invited to complete an online self-report questionnaire and achieved an 82% response rate (1,237/1,509). The cross-sectional data analyzed in 2015 were baseline to a study on enhancing EBDM capacity and supports. RESULTS Webinars/workshops was the most frequently selected method to learn public health findings among those in state and local health departments, whereas academic journals was the top selection by those in universities and healthcare facilities (p<0.001). Several modifiable EBDM practices were associated with more frequent use of research evidence, including direct supervisor expectations for EBDM use and performance evaluation based partially on EBDM use (AOR=2.5, 95% CI=1.9, 3.2 and AOR=2.5, 95% CI=2.1, 2.9, respectively). Increased numbers of EBDM practices were associated with higher odds of frequent research evidence use. Participant characteristics associated with higher research evidence use and adjusted for were job role, education attainment, and gender. CONCLUSIONS To translate research into public health practice, researchers can tailor evidence on intervention implementation and effectiveness and disease burden to accessible and preferred formats for public health workers and partners. Management practices to support evidence-based disease prevention can be instituted and fostered in public health and partnering agencies.


Preventing Chronic Disease | 2017

Controlling Chronic Diseases Through Evidence-Based Decision Making: A Group-Randomized Trial

Ross C. Brownson; Peg Allen; Rebekah R. Jacob; Anna deRuyter; Meenakshi Lakshman; Rodrigo Siqueira Reis; Yan Yan

Introduction Although practitioners in state health departments are ideally positioned to implement evidence-based interventions, few studies have examined how to build their capacity to do so. The objective of this study was to explore how to increase the use of evidence-based decision-making processes at both the individual and organization levels. Methods We conducted a 2-arm, group-randomized trial with baseline data collection and follow-up at 18 to 24 months. Twelve state health departments were paired and randomly assigned to intervention or control condition. In the 6 intervention states, a multiday training on evidence-based decision making was conducted from March 2014 through March 2015 along with a set of supplemental capacity-building activities. Individual-level outcomes were evidence-based decision making skills of public health practitioners; organization-level outcomes were access to research evidence and participatory decision making. Mixed analysis of covariance models was used to evaluate the intervention effect by accounting for the cluster randomized trial design. Analysis was performed from March through May 2017. Results Participation 18 to 24 months after initial training was 73.5%. In mixed models adjusted for participant and state characteristics, the intervention group improved significantly in the overall skill gap (P = .01) and in 6 skill areas. Among the 4 organizational variables, only access to evidence and skilled staff showed an intervention effect (P = .04). Conclusion Tailored and active strategies are needed to build capacity at the individual and organization levels for evidence-based decision making. Our study suggests several dissemination interventions for consideration by leaders seeking to improve public health practice.


Children's Geographies | 2015

School holidays: examining childhood, gender norms, and kinship in children's shorter-term residential mobility in urban Zambia

Jean Hunleth; Rebekah R. Jacob; Sm Cole; Aimee S. James

This article discusses a practice of child residential mobility in Zambia that is frequently overlooked in migration studies and difficult to capture through standard survey methods: the practice of ‘going on holiday’ to the homes of relatives during breaks in the school term. Drawing on child-centered and quantitative research, this article examines the multiple dimensions of ‘going on holiday’ for children living in a low-income urban settlement in Lusaka. Findings suggest that the practice was gendered and may map onto changing norms in schooling in Zambia. Within a context where resources are severely constrained, going on holiday may serve as one means for cultivating reciprocity, sharing the burden of care and household labor, and strengthening kin ties. This work further demonstrates the importance of using locally meaningful terms and practices in survey research where general questions about childrens mobility may fail to capture the nature and extent of childrens movements.

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Ross C. Brownson

Washington University in St. Louis

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Peg Allen

Washington University in St. Louis

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Aimee S. James

Washington University in St. Louis

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Ellen Jones

University of Mississippi Medical Center

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Jenine K. Harris

Washington University in St. Louis

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Kathleen Duggan

Washington University in St. Louis

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Lindsay Elliott

Washington University in St. Louis

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